Pupil responses to continuous aiming movements

Jiang, Xianta; Zheng, Bin; Bednarik, Roman; Atkins, M. Stella

doi:10.1016/j.ijhcs.2015.05.006

Cited by 39 publications

(32 citation statements)

References 52 publications

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“…These tasks, interfaces and individuals always work in correlation and influence the cognitive load. Concerning this correlation and influence, usability and CLT studies have been conducted in the area of cognitive ergonomics (Ahlstrom and Freidman-Berg, 2006;Evans and Gibbons, 2007;Cierniak et al, 2008;Austin, 2009;van Gog et al, 2009a;De Koning et al, 2010;Liu and Chuang, 2010;Liu et al, 2011;Galy et al, 2012;Wang et al, 2014;van Cauwenberge et al, 2014;Huang and Chen, 2015;Jiang et al, 2015;Majooni et al, 2015;Vatavu and Mancas, 2015). Galy et al (2012) investigated the relationship between mental workload factors (task difficulty, time pressure and alertness) and cognitive load types.…”

Section: Relationship Between Cognitive Load and Interface/workplace mentioning

confidence: 99%

“…Van Gog et al If the attention guidance is adapted to assembly workplaces, it can cause to extend the cognition of worker to workspace. Jiang et al (2015) investigated the difficulty level of a task's effect on cognitive load. They set three difficulty levels for the task (in which a continuously moving surgical tool pointed to circles).…”

Section: Relationship Between Cognitive Load and Interface/workplace mentioning

confidence: 99%

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Human-robot collaboration on an assembly work with extended cognition approach

Üstünel

Gündüz

2017

JAMDSM

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In this study, the cognitive load that occurs in assembly works requiring human-robot collaboration is investigated. It is aimed to detect the effects of the workplaces designed with the approach of extended cognition on cognitive load and gender differences in cognitive load. Two workplace designs were used to investigate the task load that occurs in human-robot collaboration works and the effect of extended cognition on cognitive load. In both designs there was a sedentary workplace and same assembly work which requires human-robot collaboration. Differently, for the experimental group, the manual drawing was integrated to work table to detect the effect of extended cognition. For both groups task load is measured by using NASA-TLX (Task Load Index) method. Experimental results showed that the design with the extended cognition concept helps to reduce mental task load for male participants which is an important issue for yield, work safety, and quality in human-robot collaboration works. Experimental results also showed that there are no significant differences in cognitive load between genders. Unlike other studies, in this paper, human-robot cooperative works are examined according to gender difference with a point of extended cognition. The importance of the workplace design for human-robot interaction is presented.

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Section: Relationship Between Cognitive Load and Interface/workplace mentioning

confidence: 99%

Section: Relationship Between Cognitive Load and Interface/workplace mentioning

confidence: 99%

Human-robot collaboration on an assembly work with extended cognition approach

Üstünel

Gündüz

2017

JAMDSM

View full text Add to dashboard Cite

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“…For example, behavioral measurements are used to extend communication bandwidth and develop smart technologies [32], conversational intelligence based on the environmental sensors [33], and estimation of user behavior (e.g., emotion estimation) [34,35]. Several research works use behavioral measurements to study human behavior and usability aspects in regard to technology use, analyzing stress estimation [36], workload estimation [37], cognitive load estimation [38][39][40], and classification [41], among many others. A good example where aforementioned measurements all come into play is in intelligent tutoring systems [42], which are also relevant to the topic of this paper.…”

Section: Behavioral Measurementsmentioning

confidence: 99%

Emotion Elicitation in a Socially Intelligent Service: The Typing Tutor

Košir

Strle

2017

Computers

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This paper presents an experimental study on modeling machine emotion elicitation in a socially intelligent service, the typing tutor. The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective state (valence and arousal) of the learner during a tutoring session. The tutor provides continuous real-time emotion elicitation via graphically rendered emoticons, as an emotional feedback to learner's performance. Good performance is rewarded by the positive emoticon, based on the notion of positive reinforcement. Facial emotion recognition software is used to analyze the affective state of the learner for later evaluation. Experimental results show the correlation between the positive emoticon and the learner's affective state is significant for all 13 (100%) test participants on the arousal dimension and for 9 (69%) test participants on both affective dimensions. The results also confirm our hypothesis and show that the machine emotion elicitation is significant for 11 (85%) of 13 test participants. We conclude that the machine emotion elicitation with simple graphical emoticons has a promising potential for the future development of the tutor.

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“…Moreover, Jiang et al (2015) studied the correlation between pupil dilation and continuous pointing task difficulty using Fitts' law to quantitatively define the complexity of the motor task, which can be adopted in our future work to model the conditions in a more controlled way.…”

Section: Limitations and Implicationsmentioning

confidence: 99%

Gaze–mouse coordinated movements and dependency with coordination demands in tracing

Deng

Chang

Kirkby

et al. 2016

Behaviour & Information Technology

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Eye movements have been shown to lead hand movements in tracing tasks where subjects have to move their fingers along a predefined trace. The question remained, whether the leading relationship was similar when tracing with a pointing device, such as a mouse; more importantly, whether tasks that required more or less gaze-mouse coordination would introduce variation in this pattern of behaviour, in terms of both spatial and temporal leading of gaze position to mouse movement. A three-level gaze-mouse coordination demand paradigm was developed to address these questions. A substantial data set of 1350 trials was collected and analysed. The linear correlation of gaze-mouse movements, the statistical distribution of the lead time, as well as the lead distance between gaze and mouse cursor positions were all considered, and we proposed a new method to quantify lead time in gaze-mouse coordination. The results supported and extended previous empirical findings that gaze often led mouse movements. We found that the gaze-mouse coordination demands of the task were positively correlated to the gaze lead, both spatially and temporally. However, the mouse movements were synchronised with or led gaze in the simple straight line condition, which demanded the least gaze-mouse coordination.

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Pupil responses to continuous aiming movements

Cited by 39 publications

References 52 publications

Human-robot collaboration on an assembly work with extended cognition approach

Human-robot collaboration on an assembly work with extended cognition approach

Emotion Elicitation in a Socially Intelligent Service: The Typing Tutor

Gaze–mouse coordinated movements and dependency with coordination demands in tracing

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